MOB-CBAM: A dual-channel attention-based deep learning generalizable model for breast cancer molecular subtypes prediction using mammograms.

Journal: Computer methods and programs in biomedicine
Published Date: Mar 10, 2024

Abstract

BACKGROUND AND OBJECTIVE: Deep Learning models have emerged as a significant tool in generating efficient solutions for complex problems including cancer detection, as they can analyze large amounts of data with high efficiency and performance. Recent medical studies highlight the significance of molecular subtype detection in breast cancer, aiding the development of personalized treatment plans as different subtypes of cancer respond better to different therapies.

Authors

  • Iqra Nissar
    Department of Computer Engineering, Jamia Millia Islamia (A Central University), New Delhi, 110025, India. Electronic address: iqra.nissar13@gmail.com.
  • Shahzad Alam
    Department of Computer Engineering, Jamia Millia Islamia (A Central University), New Delhi, 110025, India.
  • Sarfaraz Masood
    Department of Computer Engineering, Jamia Millia Islamia (A Central University), New Delhi, 110025, India.
  • Mohammad Kashif
    Department of Computer Engineering, Jamia Millia Islamia (A Central University), New Delhi, 110025, India.

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